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Discovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligence

2026-01-30Artigo de investigação Acesso aberto
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dc.contributor.authorJiménez, Diego Javier
dc.contributor.authorMarasco, Ramona
dc.contributor.authorSchultz, Júnia
dc.contributor.authorRodríguez, Carlos Andrés Díaz
dc.contributor.authorNogales, Juan
dc.contributor.authorRodriguez-R, Luis Miguel
dc.contributor.authorOvermann, Jörg
dc.contributor.authorRosado, Alexandre Soares
dc.date.accessioned2026-03-03T09:34:02Z
dc.date.available2026-03-03T09:34:02Z
dc.date.issued2026-01-30
dc.description.abstractDespite advances in sequencing, microbial genomics, and cultivation techniques, the vast majority of prokaryotic species remain uncultured, which is a persistent bottleneck in microbiology and microbial ecology. This perspective outlines a conceptual framework to improve the transition from genomeresolved metagenomics to the targeted isolation of yet-uncultured prokaryotic taxa. The proposed framework integrates the induced reshaping of microbiomes, genome-based inferences of physiological and phenotypic traits, culture media design, and targeted culturomics, enabling hypothesis-driven cultivation. In addition, this manuscript addresses the critical limitations in the field, including the sequence-to-function gap, and emphasizes the synergistic potential of experimental microbiology, microbial ecology, metagenomics, and artificial intelligence (AI)-based predictions to enhance rational and actionable roadmaps for discovering and cultivating novel prokaryotic lineages.eng
dc.identifier.citationJiménez, D. J., Marasco, R., Schultz, J., & Rodríguez, C. A. D. et al. (2026). Discovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligence. ISME Journal, 20(1), Article wrag012. https://doi.org/10.1093/ismejo/wrag012
dc.identifier.doi10.1093/ismejo/wrag012
dc.identifier.eid105030979971
dc.identifier.issn1751-7362
dc.identifier.other83c647b4-6f01-4cb3-a377-88842c1ca5c4
dc.identifier.pmid41615027
dc.identifier.urihttp://hdl.handle.net/10400.14/57235
dc.identifier.wos001698333100001
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCulturomics
dc.subjectGenome-scale metabolic models
dc.subjectGenotype-phenotype inference
dc.subjectIsolation
dc.subjectMachine learning
dc.subjectMetagenome-assembled genomes
dc.subjectMicrobiome perturbation
dc.titleDiscovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligenceeng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleISME Journal
oaire.citation.volume20
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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